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Meta-analysis finds frozen section reliable for tumor-free margins in OSCC

Meta-analysis finds frozen section reliable for tumor-free margins in OSCC
Photo by Navy Medicine / Unsplash
Key Takeaway
Consider frozen section analysis for intraoperative margin assessment in OSCC, but be aware of its moderate sensitivity.

This systematic review and meta-analysis evaluated the diagnostic accuracy of intraoperative frozen section analysis for detecting tumor-free margins in patients with oral squamous cell carcinoma (OSCC). The review included 19 studies for qualitative synthesis, with 9 studies providing complete 2x2 data for meta-analysis. A total of 1082 records were initially identified.

Pooled results showed a sensitivity of 0.78 (95% CI: 0.55-0.91) and specificity of 0.98 (95% CI: 0.96-0.99), with an area under the curve (AUC) of 0.955. These findings indicate that frozen section analysis has high specificity but only moderate sensitivity for detecting tumor-free margins.

The authors noted that common-effect estimates were lower due to the influence of larger studies, which may affect the generalizability of the findings. Other limitations include potential heterogeneity among studies and the absence of reported adverse events or follow-up data.

Incorporating frozen section assessment may improve surgical precision and reduce the risk of residual disease, but clinicians should interpret the moderate sensitivity cautiously. Further research is needed to confirm these findings and address study limitations.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
BACKGROUND: The frozen section technique is a vital intraoperative diagnostic tool that enables rapid microscopic assessment of tissues, providing immediate information to guide surgical decision-making, including evaluation of tumor margins, disease extent, and metastatic involvement. Given the high risk of positive surgical margins in oral squamous cell carcinoma (OSCC), achieving margin-negative resection is critical to minimizing recurrence. This systematic review and meta-analysis evaluates the reliability of frozen section analysis in detecting tumor-free margins in OSCC. METHODS: A comprehensive literature search was performed across PubMed, Scopus, Embase, and Science Direct, yielding 1082 records. After removing duplicates and screening titles, abstracts, and full texts, 19 studies met the criteria for qualitative synthesis. Of these, 9 studies with complete 2 × 2 data were included in the quantitative meta-analysis. RESULTS: Under the random-effects model, frozen section demonstrated a pooled sensitivity of 0.78 (95% CI: 0.55-0.91) and a pooled specificity of 0.98 (95% CI: 0.96-0.99). The common-effect estimates were lower due to the influence of larger studies. The SROC curve from the Reitsma bivariate model showed excellent overall diagnostic performance with an AUC of 0.955, confirming strong discriminative ability in distinguishing positive from negative margins. CONCLUSION: Frozen section demonstrates high specificity and acceptable sensitivity in detecting margin status in OSCC. The strong overall diagnostic performance supports its value as a reliable intraoperative tool. Incorporating frozen section assessment may improve surgical precision and reduce the risk of residual disease.
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